Instructions to use AnonymousCS/populism_classifier_bsample_414 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_414 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_414")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_414") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_414", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bafa2858c1d6b02e133abddc582f5b1aaa5299a160a43d9fb2904be78efa5010
- Size of remote file:
- 2.3 GB
- SHA256:
- 63a42cba6eb5de249a07d20d5db16348be92e0ff9e0bbbb9720e548b457bb98e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.